Method for simulating and rebuilding ECG lead data based on neural network algorithm

Abstract

The embodiment of the invention relates to a method for simulating and rebuilding ECG lead data based on neural network algorithm, which comprises the following steps: obtaining ECG monitoring data ofthe monitored person; the ECG monitoring data comprises the lead data of at least one limb lead and the lead data of at least one chest lead; a multi-neural network regression prediction model is trained for the reconstruction of multi-lead ECG signals based on the neural network machine learning algorithm; the independent variable of the multi-neural network regression prediction model is the lead data of at least one limb lead and the lead data of at least one chest lead; the dependent variable is the lead data of the remaining unknown leads except at least one limb lead and at least one chest lead; the multi-neural network regression prediction model comprises a weight coefficient and a bias coefficient, and the weight coefficient and the bias coefficient are determined by the resultsof the training of the neural network machine learning algorithm; the lead data of the remaining unknown leads is predicted according to the weight coefficient and the bias coefficient obtained by thetraining.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence data analysis, in particular to a method for simulating and reconstructing electrocardiogram lead data based on a neural network algorithm. Background technique [0002] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines; it specializes in how computers simulate or realize human learning behaviors, In order to acquire new knowledge or skills, reorganize the existing knowledge structure to continuously improve its own performance; it is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all fields of artificial intelligence. Use induction, synthesis rather than deduction. [0003] Artificial Neural Network (ANN), or Neural Network for short, is one of t...

AI Technical Summary

Problems solved by technology

However, the complexity of the ECG data itself makes there are differences between the reconstruction results and the actual measurement results. These errors are unavoidable, and the existing reconstruction algorithms have certain limitations, only for the reconstruction of 12 leads or a specific number of leads.

Images